拥有数据变量(tcons和tleave)。尝试修改以下循环以提取/保存每次迭代的斜率,并将斜率值绘制为直方图。不确定如何找到/保存斜坡。任何帮助将不胜感激。
plot(tcons,tleave, xlab="Time spent with conspecific (seconds)", ylab =
"Time taken to leave a refuge (seconds)", main="Time spent with
conspecific vs Time taken to leave refuge")
for(i in 1:10000) {print
(abline(lm(sample(tcons)~tleave), col="lightgrey"))
print(i)}
答案 0 :(得分:1)
model1 <- lm(sample(tcons)~tleave)
slope <- model1$coefficients[2]
然后循环并根据需要保存
答案 1 :(得分:1)
忽略错误的模型公式,下面是如何将所有系数保存到列表中,然后将此列表合并到data.frame中。现在每个系数都是变量。
N <- 10000
out <- vector("list", N)
for(i in 1:N) {
mdl <- lm(sample(tcons)~tleave)
out[i] <- coef(mdl)
}
out <- do.call(rbind, out)
hist(out[, 2]) # you can then plot histogram from slope, for example